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Geospatial information sciences are a large, fast growing industry incorporating elements from information technology, knowledge management, land information, sustainable resource management, tourism and transport. 7,708 건의 리뷰 기록에서, 저희 프리랜서( Geospatial Experts )에 대한 거래선 측의 평가는 별점 5점 만점에 4.77점입니다.
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필터

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    6 건의 일자리 확인, 급여 기준: USD

    You need to export your FME ETL model as a standalone Python script. This model works with AUTODESK CONSTRUCTION CLOUD. Please send us the result after proceeding with the work in the file below. When I am satisfied with the results, I will hire you. I have a lot of work similar to that work. Hope you have good results.

    $29 / hr (Avg Bid)
    $29 / hr (평균 입찰가)
    5 건의 입찰

    I need to export FME ETL model to a standalone Python script. The model works with AUTODESK CONSTRUCTION CLOUD.

    $98 (Avg Bid)
    $98 (평균 입찰가)
    5 건의 입찰

    The input is a series of GPX files that represent a persons activity (running, hiking, cycling etc). The output is to produce a high quality heatmap with an openstreet map or google map as the background (see attached). This project will need to be written in Python or Typescript and importable as a library into a service. It will need to: * normalize and smooth paths * represent areas frequently visited in different colours * allow clipping within a bounding area * output a high quality image Can provide sample GPX files and discuss output quality requirements.

    $413 (Avg Bid)
    $413 (평균 입찰가)
    33 건의 입찰

    We need to extract geospatial information about the occurrence of natural disasters and merge this with regional GDP data, in Python or R. For that, we would need a function which is able to crop country borders from shapefiles in Python or R. We need to work with datasets such as the DFO, EFAS, GLOfas, EDO, GDO and EFFIS and we need a function that extracts information about a large number of countries in an efficient way (for instance, automatically deleting the files after the download to avoid using too much space). For the country borders we want to use the GADM 3.6 database (see ). The extracted geospatial data should then be merged to a regional macroeconomic dataset at the most granular level. *** No scraping, no blockchain, no software development needed***

    $174 (Avg Bid)
    $174 (평균 입찰가)
    34 건의 입찰

    I need to export FME ETL model to a standalone Python script. The model works with AUTODESK CONSTRUCTION CLOUD

    $1537 (Avg Bid)
    $1537 (평균 입찰가)
    12 건의 입찰

    Its a social project which is to be inaugurated by central government minister in nagpur, this project we r going to plant trees and nominate them as a persons name who's going to take care of want someone who can upload the data of each of these plants on google maps or servers so that its location,date and time, latitude, longitude, plant id, etc details will be uploaded on servers... for an example the photo is uploaded below

    $327 (Avg Bid)
    $327 (평균 입찰가)
    10 건의 입찰

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